# mcpserve

> Use this tool when you need to securely expose file system tools and note management capabilities over a standardized interface. It solves problems related to file I/O, directory management, and note organization, providing a configurable and protected environment for these operations. The tool accepts JSON-RPC 2.0 inputs and returns outputs in the same format, making it suitable for use cases requiring programmatic access to file systems and note systems.

Canonical page: https://skillsregistry.net/skills/devaloi-mcpserve  
JSON: https://api.skillsregistry.net/v1/skills/devaloi-mcpserve

## Description

Exposes file system tools and a markdown notes system over JSON-RPC 2.0 stdio transport. Provides 8 built-in tools covering file I/O, directory listing, glob-based search, and note management with YAML frontmatter. All file operations are confined to a configurable root directory with path traversal protection, and tool inputs are validated against JSON Schema before execution. Built entirely with the Go standard library with zero external dependencies.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/devaloi-mcpserve)
- **Repository:** <https://github.com/devaloi/mcpserve>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "devaloi-mcpserve"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/devaloi-mcpserve` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/devaloi-mcpserve/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt